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Market/Categories/Developer & AI Platform/Vespa

Independent product intelligence · Worldwide · 2026-05-01 → 2026-07-31

Vespavespa.ai

No product description has been published for this domain yet. Everything below is measured directly.

Developer & AI Platformvespa.aiTracked since 2026-08-192 discovery sources
19.1KBacklinks
2.2KReferring domains
34Domain authority
+7.5%Referring domains · 90 days

Authority & distribution

How strong is Vespa’s web footprint?

Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.

Backlinks

19.1KCurrent snapshot

Referring domains

2.2KCurrent snapshot

Authority

34Domain authority · category median 22

90-day move

+7.5%Referring domains, last 90 days
At 34, Vespa sits above the 22 median for its category.

Trajectory · Pro

The counts above are the latest of 370 daily observations. The curve through them is on the full profile.

See the trajectoryOpen the full profile

Traffic & engagement

Where Vespa ranks

Measured · Pro

Measured for this product: global rank, country rank and category rank.

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AI referral visibility

Which AI assistants are already sending Vespa traffic?

Measured · Pro

Measured for this product: AI referral traffic, which assistants refer it and which pages those referrals land on.

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Product profile

What Vespa is selling.

Traffic makes more sense when you can connect it to the actual product promise.

“Vespa”

No usable description reached this profile from any discovery source, so none is shown. The measured signals below are unaffected.

Developer & AI PlatformSeen 2026-08-19 → 2026-08-21Coverage tier C

What we have measured

4 of 8 signal groups are available for this product: identity, authority and backlinks, AI referrals, search demand.

Not measured for this domain: traffic and engagement, audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.

Canonical website: https://vespa.ai/

Observed across 2 discovery sources.

Research questions

What the evidence answers about Vespa.

Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.

What are the primary use cases for Vespa?

Vespa is used for building search applications, Generative AI (RAG) systems, recommendation and personalization engines, semi-structured navigation, and personal/private search. It handles use cases that combine structured data, text, images, and vectors.

Who is the primary target audience for Vespa?

The primary buyer is developers building AI systems and infrastructure. The platform is for teams creating applications that require fast, accurate AI search, agents, personalization, recommendations, and retrieval.

What are the key features and capabilities offered by Vespa?

Vespa offers hybrid search across vectors, tensors, text, and structured data. It provides integrated machine-learned model inference for relevance, scales to billions of data items with sub-100 millisecond latencies, and supports a special streaming search mode for personal data without pre-building indexes.

What is Vespa and what problem does it solve?

Vespa is a distributed AI search platform that unifies retrieval, ranking, machine learning inference, and real-time serving for business-critical AI applications. It is designed to simplify building applications that require intelligent search, recommendation, and personalization at scale.

4 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.

Behind the lock

Unlock full Vespa intelligence.

  • Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
  • AI referral detailHow much traffic assistants send, which 4 of them do it, and the 4 pages they land on.
  • Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
  • The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.

Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured